Senior Data Engineer (Investment Data)

Luxoft Poland; Polska; On-site; PLN 180,000 - 250,000; Full time

Benefits offered by this job

LuxMed

Life and travel insurance

MyBenefit program

Employee Assistance Program

Car rental options

Job summary

Luxoft Poland is seeking an experienced Data Engineer to design, build, and operate data pipelines and models powering analytics across investment teams and middle/back offices. You will own data end-to-end—from ingestion to lakehouse modeling—making data discoverable, reliable, and cost-efficient.

You will collaborate with BAs/PMs and quants, participate in sprint planning, and implement PySpark ETL pipelines on Databricks with strong SQL and data governance.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline.
• 5+ years experience in data engineering roles.
• Strong hands-on Databricks experience in production environments.
• Strong PySpark and SQL experience.
• Experience with Declarative Pipelines / pipeline orchestration on Databricks.
• Understanding of ingestion, transformation, incremental processing, testing, and performance tuning.
• Experience delivering production-ready datasets with monitoring and reliability patterns.
• Knowledge of lakehouse concepts (Delta tables) and data governance practices.
• Familiarity with CI/CD pipelines in enterprise environments and vendor market data feeds.

Responsibilities

• Participate in requirements clarification and sprint planning sessions.
• Design technical solutions and implement ETL Pipelines – Build robust data pipelines in PySpark to extract, transform, using PySpark
• Optimize ETL Processes – Enhance and tune existing ETL processes for better performance, scalability, and reliability
• Writing unit and integration tests.
• Support QA teammates in the acceptance process.
• Resolving PROD incidents as a 3rd line engineer.

Skills

Databricks

PySpark

SQL

Data Pipelines

CI/CD

Data Governance

Market Data Feeds

Education

Bachelor’s degree

Tools

Databricks

Delta Lake

Palantir Foundry

Job description

We’re looking for an experienced, hands‑on Data Engineer who is capable of designing, building, and operating data pipelines and models that power analytics and applications across investment teams and Middle/Back office. The ideal candidate has financial markets familiarity (securities, prices, corporate actions, positions/holdings) and thrives in ambiguous environments—proactively shaping solutions, not waiting for tickets. You’ll own data end-to-end: from ingesting vendor and internal sources, to modeling in our lakehouse, to making data discoverable, reliable, and cost‑efficient. You’ll partner closely with BAs/PMs and quants, anticipate downstream needs, and propose pragmatic architectures that balance speed, governance, and scalability.

• Participate in requirements clarification and sprint planning sessions.
• Design technical solutions and implement them, inc ETL Pipelines – Build robust data pipelines in PySpark to extract, transform, using PySpark
• Optimize ETL Processes – Enhance and tune existing ETL processes for better performance, scalability, and reliability
• Writing unit and integration tests.
• Support QA teammates in the acceptance process.
• Resolving PROD incidents as a 3rd line engineer.

Mandatory Skills Description

• Bachelor’s degree (Computer Science, Engineering, Information Systems, or related discipline).
• 5+ years experience in data engineering roles (flexible based on depth of capability).
• Strong hands‑on experience with Databricks in production environments (prerequisite).
• Strong programming experience with PySpark (must) and strong SQL (must).
• Proven experience with Declarative Pipelines / pipeline orchestration on Databricks (prerequisite).
• Strong understanding of data engineering fundamentals: ingestion patterns, transformation design, incremental processing, testing, performance tuning.
• Experience delivering production-ready datasets with appropriate operational controls (monitoring, troubleshooting, reliability patterns).
• Experience with modern Lakehouse concepts (Delta tables, optimization strategies, file skipping, metadata/statistics awareness).
• Exposure to data governance practices: cataloguing, documentation, business glossary/terms, lineage.
• Experience working in enterprise environments with CI/CD pipelines and structured release processes.
• Familiarity with vendor market data feeds (e.g., Bloomberg, Refinitiv, MSCI, FactSet) or similar multi-source mastering patterns.

Nice-to-Have Skills Description

• Strong Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance.
• Proven Migration Experience from Palantir / to Databricks. Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover.
• Familiarity with Dynatrace or Datadog for system observability and monitoring.
• Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications.

Our Benefits

• Stable employment based on an employment contract
• Copyright-based remuneration for Developers, resulting in a higher net salary
• LuxMed private health and dental care
• Life and travel insurance
• MyBenefit program (sports card, well-being initiatives, and more)
• Employee Assistance Program for you and your family, including psychological consultations, coaching sessions, and support in personal matters
• Car rental options

Learning & Development

• Access to the LuxTalent platform, offering webinars, training sessions, and certified courses
• Internal Mobility Program, enabling rotation between projects, locations, and accounts